TaeHyun Hwang

Publication Activity (10 Years)

Years Active: 2008-2020
Publications (10 Years): 3

Top Topics

Convex Optimization

Multiclass Problems

Transfer Learning

Top Venues

Publications

Sunho Park, Nabhonil Kar, Jae-Ho Cheong, TaeHyun Hwang
Bayesian Semi-Nonnegative Matrix Tri-Factorization to Identify Pathways Associated with CancerPhenotypes. PSB (2020)
Raphael Petegrosso, Sunho Park, TaeHyun Hwang, Rui Kuang
Transfer learning across ontologies for phenome-genome association prediction. Bioinform. 33 (4) (2017)
Sunho Park, Seung-Jun Kim, Donghyeon Yu, Samuel Peña-Llopis, Jianjiong Gao, Jinsuk Park, Beibei Chen, Jessie Norris, Xinlei Wang, Min Chen, Min-Su Kim, Jeongsik Yong, Zabi Wardak, Kevin Choe, Michael Story, Timothy K. Starr, Jae-Ho Cheong, TaeHyun Hwang
An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types. Bioinform. 32 (11) (2016)
Sunho Park, TaeHyun Hwang, Seungjin Choi
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. SDM (2014)
Sunho Park, TaeHyun Hwang, Seungjin Choi
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. CoRR (2014)
Maoqiang Xie, TaeHyun Hwang, Rui Kuang
Prioritizing Disease Genes by Bi-Random Walk. PAKDD (2) (2012)
Seung-Jun Kim, TaeHyun Hwang, Georgios B. Giannakis
Sparse robust matrix tri-factorization with application to cancer genomics. CIP (2012)
TaeHyun Hwang, Wei Zhang, Maoqiang Xie, Jinfeng Liu, Rui Kuang
Inferring disease and gene set associations with rank coherence in networks. Bioinform. 27 (19) (2011)
TaeHyun Hwang, Wei Zhang, Maoqiang Xie, Rui Kuang
Inferring Disease and Gene Set Associations with Rank Coherence in Networks CoRR (2011)
TaeHyun Hwang, Rui Kuang
A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery. SDM (2010)
Ze Tian, TaeHyun Hwang, Rui Kuang
A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge. Bioinform. 25 (21) (2009)
Ze Tian, TaeHyun Hwang, Rui Kuang
A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior. GENSiPS (2009)
TaeHyun Hwang, Hugues Sicotte, Ze Tian, Baolin Wu, Jean-Pierre A. Kocher, Dennis A. Wigle, Vipin Kumar, Rui Kuang
Robust and efficient identification of biomarkers by classifying features on graphs. Bioinform. 24 (18) (2008)
TaeHyun Hwang, Ze Tian, Rui Kuang, Jean-Pierre A. Kocher
Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction. ICDM (2008)